6 citations · 9 across the 5 of their papers we have counts for
5 papers
HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection
Kang Yi, Jing Xu, Xiao Jin +2
RGB-D salient object detection (SOD) aims to detect the prominent regions by jointly modeling RGB and depth information. Most RGB-D SOD methods apply the same type of backbones and…
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection
Xiao Jin, Xin-Yue Mu, Jing Xu
As the saying goes, "seeing is believing". However, with the development of digital face editing tools, we can no longer trust what we can see. Although face forgery detection has…
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization
Wei-Yun Liang, Jing Xu, Xiao Jin
Image manipulation localization aims at distinguishing forged regions from the whole test image. Although many outstanding prior arts have been proposed for this task, there are st…
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
Chulin Wang, Kyongmin Yeo, Xiao Jin +3
We present a super-resolution model for an advection-diffusion process with limited information. While most of the super-resolution models assume high-resolution (HR) ground-truth…
RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification
Yanfeng Wu, Chenkai Guo, Junan Zhao +2
The convolutional neural network (CNN) based approaches have shown great success for speaker verification (SV) tasks, where modeling long temporal context and reducing information…